Product Manager, Data-Enterprise

Job Description

Product Manager, Data-Enterprise

Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company you choose to work at, and its leaders, will support and guide you. With a variety of people, global locations, technologies, and products, 3M is a place where you can collaborate with other curious, creative 3

Mers.

This position provides an opportunity to transition from other private, public, government, or military experience to a 3M career

This role requires a strategic thinker with deep understanding of enterprise data product management, the regulatory and compliance demands of Finance, HR, IT and Legal functions, and a systems-level view of data architecture. The ideal candidate will act as the strategic bridge between enterprise business functions, data engineering and AI enablement – shaping a globally scalable portfolio of data products measured through Outcome-Driven Metrics and aligned with enterprise governance, Fin Ops and AI risk frameworks.

• Define the vision and strategic roadmap for Enterprise domain data products (Finance, HR, IT, Legal) in alignment with enterprise data strategy, platform capabilities and business value streams.
• Establish consistent standards for data product management across enterprise domains, including data contracts, backlog prioritization and Outcome-Driven Metrics for value measurement.
• Identify opportunities for technology-driven improvements and innovations within Finance, HR, IT operations and Legal functions – including AI/ML-ready data products and self-service analytics.
• Partner with Data Engineering and Platform teams to ensure data products are scalable, secure, interoperable across domains, and discoverable through the enterprise data marketplace.
• Translate enterprise priorities into clear, actionable domain product roadmaps that balance innovation, compliance, and technical sustainability – with particular attention to cross-domain dependencies and shared data assets.

• Oversee the enterprise data product portfolio: lifecycle management (creation, updates, maintenance, retirement), investment planning and roadmap execution for cross-domain and shared data assets.
• Prioritize across domains based on business value, readiness, and capacity – using intake, ITOC and BRM processes; apply Outcome-Driven Metrics and cost attribution to guide strategic investment decisions.
• Ensure product roadmaps integrate with the broader Data Platform architecture (Bronze/Silver/Gold, Iceberg/S3, Glue, Lake Formation, Snowflake, Power BI) and support modularity, interoperability and reuse.
• Define and track KPIs: adoption rate, data product usage, cost-to-serve, cycle time, ROI metrics and data contract compliance; apply Fin Ops principles for transparency across the enterprise portfolio.
• Drive cross-domain collaboration and dependency management to maximize reuse, avoid duplication, and enable data products that serve multiple business units simultaneously.

• Embed governance, AI risk reviews, and data contract enforcement into the data product lifecycle – ensuring every product is certified for reuse through formal contracts with defined SLAs, quality expectations and usage rights.
• Ensure adherence to data quality, metadata, lineage, and Fin Ops standards – with particular focus on sensitivity of HR and Legal data; implement data product observability for pipeline health monitoring.
• Partner with Security, Risk and Compliance teams to ensure all products meet global regulatory requirements; design and maintain federated governance models balancing central policy with domain autonomy.
• Advocate for product reusability, domain ownership, self-service enablement, and data product discoverability; collaborate with platform team to deliver self-service tools for domain teams.

• Build strong relationships with enterprise domain leaders across Finance, HR, IT and Legal functions and their respective IT counterparts – aligning…